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      <li class="current"><a href="functions_func.xhtml#index_a"><span>a</span></a></li>
      <li><a href="functions_func_b.xhtml#index_b"><span>b</span></a></li>
      <li><a href="functions_func_c.xhtml#index_c"><span>c</span></a></li>
      <li><a href="functions_func_d.xhtml#index_d"><span>d</span></a></li>
      <li><a href="functions_func_e.xhtml#index_e"><span>e</span></a></li>
      <li><a href="functions_func_f.xhtml#index_f"><span>f</span></a></li>
      <li><a href="functions_func_g.xhtml#index_g"><span>g</span></a></li>
      <li><a href="functions_func_h.xhtml#index_h"><span>h</span></a></li>
      <li><a href="functions_func_i.xhtml#index_i"><span>i</span></a></li>
      <li><a href="functions_func_j.xhtml#index_j"><span>j</span></a></li>
      <li><a href="functions_func_k.xhtml#index_k"><span>k</span></a></li>
      <li><a href="functions_func_l.xhtml#index_l"><span>l</span></a></li>
      <li><a href="functions_func_m.xhtml#index_m"><span>m</span></a></li>
      <li><a href="functions_func_n.xhtml#index_n"><span>n</span></a></li>
      <li><a href="functions_func_o.xhtml#index_o"><span>o</span></a></li>
      <li><a href="functions_func_p.xhtml#index_p"><span>p</span></a></li>
      <li><a href="functions_func_q.xhtml#index_q"><span>q</span></a></li>
      <li><a href="functions_func_r.xhtml#index_r"><span>r</span></a></li>
      <li><a href="functions_func_s.xhtml#index_s"><span>s</span></a></li>
      <li><a href="functions_func_t.xhtml#index_t"><span>t</span></a></li>
      <li><a href="functions_func_u.xhtml#index_u"><span>u</span></a></li>
      <li><a href="functions_func_v.xhtml#index_v"><span>v</span></a></li>
      <li><a href="functions_func_w.xhtml#index_w"><span>w</span></a></li>
      <li><a href="functions_func_x.xhtml#index_x"><span>x</span></a></li>
      <li><a href="functions_func_y.xhtml#index_y"><span>y</span></a></li>
      <li><a href="functions_func_z.xhtml#index_z"><span>z</span></a></li>
      <li><a href="functions_func_0x7e.xhtml#index_0x7e"><span>~</span></a></li>
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&#160;

<h3><a class="anchor" id="index_a"></a>- a -</h3><ul>
<li>a()
: <a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml#a55beddf67f69fc5312961b1b112560fb">ActivationLayerInfo</a>
</li>
<li>abs()
: <a class="el" href="structarm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_1_1functions.xhtml#a3c04cac868606ed11c00761f0d5b3d2c">functions</a>
</li>
<li>AbsoluteTolerance()
: <a class="el" href="classarm__compute_1_1test_1_1validation_1_1_absolute_tolerance.xhtml#a0856d709c655f740d93b50e9121a7aa3">AbsoluteTolerance&lt; T &gt;</a>
</li>
<li>access_tensor()
: <a class="el" href="classarm__compute_1_1graph_1_1_i_tensor_accessor.xhtml#a497873c25847d7b4f60f37a1a3aa7665">ITensorAccessor</a>
, <a class="el" href="classarm__compute_1_1graph__utils_1_1_dummy_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca">DummyAccessor</a>
, <a class="el" href="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml#ab469d593b4bc92e1d1132a03de0aedca">NumPyBinLoader</a>
, <a class="el" href="classarm__compute_1_1graph__utils_1_1_p_p_m_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca">PPMAccessor</a>
, <a class="el" href="classarm__compute_1_1graph__utils_1_1_p_p_m_writer.xhtml#ab469d593b4bc92e1d1132a03de0aedca">PPMWriter</a>
, <a class="el" href="classarm__compute_1_1graph__utils_1_1_random_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca">RandomAccessor</a>
, <a class="el" href="classarm__compute_1_1graph__utils_1_1_top_n_predictions_accessor.xhtml#ab469d593b4bc92e1d1132a03de0aedca">TopNPredictionsAccessor</a>
</li>
<li>Accessor()
: <a class="el" href="classarm__compute_1_1test_1_1_accessor.xhtml#a07899949ec789695420c2e13544ef9a5">Accessor</a>
</li>
<li>AccessWindowAutoPadding()
: <a class="el" href="classarm__compute_1_1_access_window_auto_padding.xhtml#ab876b2c3c41ed76c14c177c9373d320b">AccessWindowAutoPadding</a>
</li>
<li>AccessWindowHorizontal()
: <a class="el" href="classarm__compute_1_1_access_window_horizontal.xhtml#ae44d5d1d474ac5fa01159d24f7318f7f">AccessWindowHorizontal</a>
</li>
<li>AccessWindowRectangle()
: <a class="el" href="classarm__compute_1_1_access_window_rectangle.xhtml#ae89409b4c8b08f06ab694e829223932b">AccessWindowRectangle</a>
</li>
<li>AccessWindowStatic()
: <a class="el" href="classarm__compute_1_1_access_window_static.xhtml#a9a7f835520e9f3b19b414f61c4f86f99">AccessWindowStatic</a>
</li>
<li>AccessWindowVertical()
: <a class="el" href="classarm__compute_1_1_access_window_vertical.xhtml#af470e59c429be56a65a66e806816246d">AccessWindowVertical</a>
</li>
<li>accum_conf()
: <a class="el" href="classarm__compute_1_1test_1_1validation_1_1_accumulate_squared_validation_fixture.xhtml#ae330fbb92215328f95810cf3dc27ef15">AccumulateSquaredValidationFixture&lt; TensorType, AccessorType, FunctionType, T1, T2 &gt;</a>
, <a class="el" href="classarm__compute_1_1test_1_1validation_1_1_accumulate_validation_fixture.xhtml#ae330fbb92215328f95810cf3dc27ef15">AccumulateValidationFixture&lt; TensorType, AccessorType, FunctionType, T1, T2 &gt;</a>
, <a class="el" href="classarm__compute_1_1test_1_1validation_1_1_accumulate_weighted_validation_fixture.xhtml#ae330fbb92215328f95810cf3dc27ef15">AccumulateWeightedValidationFixture&lt; TensorType, AccessorType, FunctionType, T1, T2 &gt;</a>
</li>
<li>accum_ref()
: <a class="el" href="classarm__compute_1_1test_1_1validation_1_1_accumulate_squared_validation_fixture.xhtml#a1a747670ecf5dec64dcad7826bdbc0b3">AccumulateSquaredValidationFixture&lt; TensorType, AccessorType, FunctionType, T1, T2 &gt;</a>
, <a class="el" href="classarm__compute_1_1test_1_1validation_1_1_accumulate_validation_fixture.xhtml#a1a747670ecf5dec64dcad7826bdbc0b3">AccumulateValidationFixture&lt; TensorType, AccessorType, FunctionType, T1, T2 &gt;</a>
, <a class="el" href="classarm__compute_1_1test_1_1validation_1_1_accumulate_weighted_validation_fixture.xhtml#a1a747670ecf5dec64dcad7826bdbc0b3">AccumulateWeightedValidationFixture&lt; TensorType, AccessorType, FunctionType, T1, T2 &gt;</a>
</li>
<li>acquire()
: <a class="el" href="classarm__compute_1_1_blob_memory_pool.xhtml#a93acd60164fb91350b542af0200410a6">BlobMemoryPool</a>
, <a class="el" href="classarm__compute_1_1_i_memory_group.xhtml#accdbc89f54447d25dfc018d38070f4ea">IMemoryGroup</a>
, <a class="el" href="classarm__compute_1_1_i_memory_pool.xhtml#a064f06f20fc565efbb2227aac827c12f">IMemoryPool</a>
, <a class="el" href="classarm__compute_1_1_memory_group_base.xhtml#a8d16047fa6fdcf5f5453056cc0e1daba">MemoryGroupBase&lt; TensorType &gt;</a>
, <a class="el" href="classarm__compute_1_1_offset_memory_pool.xhtml#a93acd60164fb91350b542af0200410a6">OffsetMemoryPool</a>
</li>
<li>activation()
: <a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml#a63e05ce4946dd9807c005c1619fa337a">ActivationLayerInfo</a>
</li>
<li>ActivationFunctions()
: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_activation_functions.xhtml#a2bf52109824b6641431e0f8c5c321a12">ActivationFunctions</a>
</li>
<li>ActivationLayer()
: <a class="el" href="classarm__compute_1_1graph_1_1_activation_layer.xhtml#afac1172e48fcb7c2e806f1629da9624a">ActivationLayer</a>
</li>
<li>ActivationLayerInfo()
: <a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml#ac06d9557031b0febb70869efd793cb38">ActivationLayerInfo</a>
</li>
<li>add()
: <a class="el" href="structarm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_1_1functions.xhtml#a40956c61706d70b8978c2b87ac455d2a">functions</a>
, <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_profiler.xhtml#a9a2cd15d64a87642898d68b060a5afa9">Profiler</a>
, <a class="el" href="classarm__compute_1_1test_1_1_tensor_cache.xhtml#a00b2f7f657ef8060c64fce93abac54e1">TensorCache</a>
</li>
<li>add_1D_array_argument()
: <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a9331d385192a50adf74d3af40ce0fa20">ICLKernel</a>
</li>
<li>add_1D_tensor_argument()
: <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a479e7043e65dc87de35d374e108510f7">ICLKernel</a>
, <a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#ae7a1e979b3442bd2f7732b5f51d5dded">IGCKernel</a>
</li>
<li>add_2D_tensor_argument()
: <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#ac74dad3e61f79334f5e73f3c3ac603cb">ICLKernel</a>
, <a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#a633d6a0cb573106e4d420b664cb29b66">IGCKernel</a>
</li>
<li>add_3D_tensor_argument()
: <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a28f5847162f352444c6ac1825d0e99c7">ICLKernel</a>
, <a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#aa9ed9d806fc3364df21027387b9e735a">IGCKernel</a>
</li>
<li>add_4D_tensor_argument()
: <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a33e09c946b338fbfc780a9d1c66e68ad">ICLKernel</a>
</li>
<li>add_argument()
: <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a50f427a1d9419800972b9e03c4034311">ICLKernel</a>
</li>
<li>add_array_argument()
: <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a2d7c6b5f3332604ad6a637457f65c342">ICLKernel</a>
</li>
<li>add_config()
: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_batch_normalization_layer_dataset.xhtml#a4634b6c3ee364ba5d258389c39e36391">BatchNormalizationLayerDataset</a>
, <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">ConvolutionLayerDataset</a>
, <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_depthwise_convolution_layer_dataset.xhtml#ad9572fe2034b2ae4a4a9f9775cdcc4ab">DepthwiseConvolutionLayerDataset</a>
, <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_depthwise_separable_convolution_layer_dataset.xhtml#a0c595d641ff7e7fd72afb568a8836896">DepthwiseSeparableConvolutionLayerDataset</a>
, <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_fully_connected_layer_dataset.xhtml#a5446368b6d98e0124488be5698abf97a">FullyConnectedLayerDataset</a>
, <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_g_e_m_m_dataset.xhtml#ab94a6efb6054d4272c40b4103e5b94bb">GEMMDataset</a>
, <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_g_e_m_m_lowp_dataset.xhtml#ab16ad95c389307713ad907926fa9e848">GEMMLowpDataset</a>
, <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_h_o_g_descriptor_dataset.xhtml#a1c3379249b34b82cc19321381508aa2f">HOGDescriptorDataset</a>
, <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_normalize_planar_y_u_v_layer_dataset.xhtml#ab847eb21a42ba6b11359c42b20c4c454">NormalizePlanarYUVLayerDataset</a>
, <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_pooling_layer_dataset.xhtml#ae48663d611bae13b69e6153198032284">PoolingLayerDataset</a>
, <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_reshape_layer_dataset.xhtml#a0a5219d7167f51af08582ff68bde23ec">ReshapeLayerDataset</a>
, <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_r_o_i_pooling_layer_dataset.xhtml#ad5f10da2006744de614f2567a1c643a7">ROIPoolingLayerDataset</a>
, <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_scale_layer_dataset.xhtml#a44466fdbe15a0221534e0f10616d2b61">ScaleLayerDataset</a>
, <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_threshold_dataset.xhtml#afe9cd51e0c7935c92b881f3697d62f86">ThresholdDataset</a>
</li>
<li>add_data_test_case()
: <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#aff39a3b89865624b6579d6980fb88654">Framework</a>
</li>
<li>add_decorator()
: <a class="el" href="classarm__compute_1_1logging_1_1_logger.xhtml#aca0de1bc76119d77831c0b1d58a20f4d">Logger</a>
</li>
<li>add_image_file()
: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_image_file_dataset.xhtml#ac0eb4ae50d395d3c191d5078f7c99a06">ImageFileDataset</a>
</li>
<li>add_input()
: <a class="el" href="classarm__compute_1_1graph_1_1_node_context.xhtml#a092fa0a514eef844785e30916a2cf8bd">NodeContext</a>
</li>
<li>add_lws_to_table()
: <a class="el" href="classarm__compute_1_1_c_l_tuner.xhtml#a7de8b49d3ae94affb80ba48945368a8a">CLTuner</a>
</li>
<li>add_node()
: <a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml#a38ce1a1fc4dd3131a37225ae95c143ce">Graph</a>
, <a class="el" href="classarm__compute_1_1graph_1_1_sub_graph.xhtml#a38ce1a1fc4dd3131a37225ae95c143ce">SubGraph</a>
</li>
<li>add_operation()
: <a class="el" href="classarm__compute_1_1graph_1_1_operation_registry.xhtml#aad5f9e2a10e4d9a6d13f78862df1d0d5">OperationRegistry</a>
</li>
<li>add_option()
: <a class="el" href="classarm__compute_1_1_c_l_build_options.xhtml#a3e2b80ff5463b7d2017de847f5c32a30">CLBuildOptions</a>
, <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_command_line_parser.xhtml#a533951910a8df4f26eac7e534a226c5f">CommandLineParser</a>
</li>
<li>add_option_if()
: <a class="el" href="classarm__compute_1_1_c_l_build_options.xhtml#a95b46e69297fad10b27a1baa000f92cc">CLBuildOptions</a>
</li>
<li>add_option_if_else()
: <a class="el" href="classarm__compute_1_1_c_l_build_options.xhtml#a9b58a8c8bf638904a0b5f62b2bfcf96a">CLBuildOptions</a>
</li>
<li>add_options()
: <a class="el" href="classarm__compute_1_1_c_l_build_options.xhtml#a58abf0792821f6f1d6271570aa27dd84">CLBuildOptions</a>
</li>
<li>add_options_if()
: <a class="el" href="classarm__compute_1_1_c_l_build_options.xhtml#a504e7a51a86c19f1f529f739f50729f2">CLBuildOptions</a>
</li>
<li>add_output()
: <a class="el" href="classarm__compute_1_1graph_1_1_node_context.xhtml#a93bbbe62b0f94909ba481b02fc785416">NodeContext</a>
</li>
<li>add_parameter()
: <a class="el" href="classarm__compute_1_1graph_1_1_node_context.xhtml#a4b8e8981665590668761d9c3178f4720">NodeContext</a>
</li>
<li>add_positional_option()
: <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_command_line_parser.xhtml#a079cbecac60787502777460ef65491c0">CommandLineParser</a>
</li>
<li>add_printer()
: <a class="el" href="classarm__compute_1_1logging_1_1_logger.xhtml#a1a5b7c4d38c6f9fd1550c62441b69648">Logger</a>
, <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#a5f16ced78873ee3a193490197fbf57a5">Framework</a>
</li>
<li>add_tensor_object()
: <a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml#ab354fb05f2ce43224f098bb3dc7ff42c">Graph</a>
, <a class="el" href="classarm__compute_1_1graph_1_1_sub_graph.xhtml#ab354fb05f2ce43224f098bb3dc7ff42c">SubGraph</a>
</li>
<li>add_test_case()
: <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#ad8e7764125fcd790e0b151d26cfe949c">Framework</a>
</li>
<li>add_test_info()
: <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#ab5eae10e0a4067cff9e87fdcb186eca8">Framework</a>
</li>
<li>adjust()
: <a class="el" href="classarm__compute_1_1_window.xhtml#a69496c7cb46a4101813d7456a6bd097b">Window</a>
</li>
<li>AlexNetActivationLayerDataset()
: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_activation_layer_dataset.xhtml#aa9ec89591c7144ceada8acebd7c476b4">AlexNetActivationLayerDataset</a>
</li>
<li>AlexNetConvolutionLayerDataset()
: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_convolution_layer_dataset.xhtml#ac432b94801358a44d8646896fd663172">AlexNetConvolutionLayerDataset</a>
</li>
<li>AlexNetDirectConvolutionLayerDataset()
: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_direct_convolution_layer_dataset.xhtml#afdcf050b66d2142b068ced09e16d8bb6">AlexNetDirectConvolutionLayerDataset</a>
</li>
<li>AlexNetFullyConnectedLayerDataset()
: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_fully_connected_layer_dataset.xhtml#ad5a2bce30a5e0fe7e51e86fa1a765f74">AlexNetFullyConnectedLayerDataset</a>
</li>
<li>AlexNetGEMMDataset()
: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_g_e_m_m_dataset.xhtml#abb0baf779ccf7f826098a0747c1cc515">AlexNetGEMMDataset</a>
</li>
<li>AlexNetNormalizationLayerDataset()
: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_normalization_layer_dataset.xhtml#a703ee52cdd79f7201ba2b594775a8eb5">AlexNetNormalizationLayerDataset</a>
</li>
<li>AlexNetPoolingLayerDataset()
: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_pooling_layer_dataset.xhtml#a88a4ddd8886dd11eb1828f2d98b6e40c">AlexNetPoolingLayerDataset</a>
</li>
<li>AlexNetWinogradLayerDataset()
: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_winograd_layer_dataset.xhtml#a8b6407c4ce8013ec3ab310e1fdf51710">AlexNetWinogradLayerDataset</a>
</li>
<li>allocate()
: <a class="el" href="classarm__compute_1_1_allocator.xhtml#aae0c9f2cf99b1724ec4a6d4e292327d2">Allocator</a>
, <a class="el" href="classarm__compute_1_1_c_l_buffer_allocator.xhtml#aae0c9f2cf99b1724ec4a6d4e292327d2">CLBufferAllocator</a>
, <a class="el" href="classarm__compute_1_1_c_l_multi_image.xhtml#acaefe811b78a2fdc4a0dba0c4029c3ef">CLMultiImage</a>
, <a class="el" href="classarm__compute_1_1_c_l_pyramid.xhtml#acaefe811b78a2fdc4a0dba0c4029c3ef">CLPyramid</a>
, <a class="el" href="classarm__compute_1_1_c_l_tensor_allocator.xhtml#a6e509c2a177b0b29e9e2369535094dee">CLTensorAllocator</a>
, <a class="el" href="classarm__compute_1_1_g_c_tensor_allocator.xhtml#a6e509c2a177b0b29e9e2369535094dee">GCTensorAllocator</a>
, <a class="el" href="classarm__compute_1_1graph_1_1_i_tensor_object.xhtml#aa8a4946cd749d482dd996874d295af85">ITensorObject</a>
, <a class="el" href="classarm__compute_1_1graph_1_1_sub_tensor.xhtml#a6e509c2a177b0b29e9e2369535094dee">SubTensor</a>
, <a class="el" href="classarm__compute_1_1graph_1_1_tensor.xhtml#a6e509c2a177b0b29e9e2369535094dee">Tensor</a>
, <a class="el" href="classarm__compute_1_1_i_allocator.xhtml#a6ce9dda753afa9abb498f3d6b673e595">IAllocator</a>
, <a class="el" href="classarm__compute_1_1_i_tensor_allocator.xhtml#aa8a4946cd749d482dd996874d295af85">ITensorAllocator</a>
, <a class="el" href="classarm__compute_1_1_multi_image.xhtml#acaefe811b78a2fdc4a0dba0c4029c3ef">MultiImage</a>
, <a class="el" href="classarm__compute_1_1_pyramid.xhtml#acaefe811b78a2fdc4a0dba0c4029c3ef">Pyramid</a>
, <a class="el" href="classarm__compute_1_1_tensor_allocator.xhtml#a6e509c2a177b0b29e9e2369535094dee">TensorAllocator</a>
, <a class="el" href="classarm__compute_1_1test_1_1networks_1_1_alex_net_network.xhtml#acaefe811b78a2fdc4a0dba0c4029c3ef">AlexNetNetwork&lt; ITensorType, TensorType, SubTensorType, Accessor, ActivationLayerFunction, ConvolutionLayerFunction, DirectConvolutionLayerFunction, FullyConnectedLayerFunction, NormalizationLayerFunction, PoolingLayerFunction, SoftmaxLayerFunction &gt;</a>
, <a class="el" href="classarm__compute_1_1test_1_1networks_1_1_le_net5_network.xhtml#acaefe811b78a2fdc4a0dba0c4029c3ef">LeNet5Network&lt; TensorType, Accessor, ActivationLayerFunction, ConvolutionLayerFunction, FullyConnectedLayerFunction, PoolingLayerFunction, SoftmaxLayerFunction &gt;</a>
, <a class="el" href="classarm__compute_1_1test_1_1networks_1_1_mobile_net_network.xhtml#acaefe811b78a2fdc4a0dba0c4029c3ef">MobileNetNetwork&lt; TensorType, Accessor, ActivationLayerFunction, ConvolutionLayerFunction, DirectConvolutionLayerFunction, DepthwiseConvolutionLayerFunction, ReshapeFunction, PoolingLayerFunction &gt;</a>
, <a class="el" href="classarm__compute_1_1test_1_1networks_1_1_mobile_net_v1_network.xhtml#acaefe811b78a2fdc4a0dba0c4029c3ef">MobileNetV1Network&lt; TensorType, Accessor, ActivationLayerFunction, BatchNormalizationLayerFunction, ConvolutionLayerFunction, DirectConvolutionLayerFunction, DepthwiseConvolutionFunction, ReshapeFunction, PoolingLayerFunction, SoftmaxLayerFunction &gt;</a>
</li>
<li>allocate_and_fill_if_needed()
: <a class="el" href="classarm__compute_1_1graph_1_1_tensor.xhtml#ab910ac6d4f9e75e14584f92d7d8b8c2d">Tensor</a>
</li>
<li>Allocator()
: <a class="el" href="classarm__compute_1_1_allocator.xhtml#a20ec13b471d9434e1c3dd9d93c004e07">Allocator</a>
</li>
<li>allocator()
: <a class="el" href="classarm__compute_1_1_c_l_lut.xhtml#a5330adc6ef4a662806ec236e2be07bbe">CLLut</a>
, <a class="el" href="classarm__compute_1_1_c_l_tensor.xhtml#ad6dc6b773780dd6b1ad17fc82368d9f3">CLTensor</a>
, <a class="el" href="classarm__compute_1_1_g_c_tensor.xhtml#ad6dc6b773780dd6b1ad17fc82368d9f3">GCTensor</a>
, <a class="el" href="classarm__compute_1_1_lut.xhtml#a5330adc6ef4a662806ec236e2be07bbe">Lut</a>
, <a class="el" href="classarm__compute_1_1_tensor.xhtml#a531ec877bfc923dea3ab6f1be5e6e1ac">Tensor</a>
</li>
<li>alpha()
: <a class="el" href="classarm__compute_1_1_normalization_layer_info.xhtml#a4ee7f04c477d0e6a2a3609c24a8815b8">NormalizationLayerInfo</a>
</li>
<li>are_all_finalized()
: <a class="el" href="classarm__compute_1_1_i_lifetime_manager.xhtml#a1bb5a543056e56ff45f413040d316312">ILifetimeManager</a>
, <a class="el" href="classarm__compute_1_1_i_simple_lifetime_manager.xhtml#aa849cbaa03d63911dbbedc830f22943d">ISimpleLifetimeManager</a>
</li>
<li>are_reshaped()
: <a class="el" href="classarm__compute_1_1_weights_info.xhtml#a5bfccf416ebb3979b4dca9a6ff6be5e0">WeightsInfo</a>
</li>
<li>area()
: <a class="el" href="classarm__compute_1_1_size2_d.xhtml#ab220a7dd0ff5c86b4ba8acdf75af3252">Size2D</a>
</li>
<li>Array()
: <a class="el" href="classarm__compute_1_1_array.xhtml#aebf91d878dbda3d2416761fc6a4e3077">Array&lt; T &gt;</a>
</li>
<li>ArrayAccessor()
: <a class="el" href="classarm__compute_1_1test_1_1_array_accessor.xhtml#ab3668a4ef621da1b5a02fd25c81fee3a">ArrayAccessor&lt; T &gt;</a>
</li>
<li>AssetsLibrary()
: <a class="el" href="classarm__compute_1_1test_1_1_assets_library.xhtml#adb53338108890e6b7354e16a1e9ae716">AssetsLibrary</a>
</li>
<li>at()
: <a class="el" href="classarm__compute_1_1_i_array.xhtml#a861d8aa0fbeb6a0a33ec8d556b7e8657">IArray&lt; T &gt;</a>
, <a class="el" href="classarm__compute_1_1test_1_1_array_accessor.xhtml#aa733629a56800aca0b5cb4608069718b">ArrayAccessor&lt; T &gt;</a>
, <a class="el" href="classarm__compute_1_1test_1_1_c_l_array_accessor.xhtml#aa733629a56800aca0b5cb4608069718b">CLArrayAccessor&lt; T &gt;</a>
, <a class="el" href="classarm__compute_1_1test_1_1_i_array_accessor.xhtml#ad1d196a1f89d9889461e6920b92d4db5">IArrayAccessor&lt; T &gt;</a>
</li>
<li>auto_padding()
: <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a4f2d0ac983637a0459daf43bcd65cc38">ITensorInfo</a>
, <a class="el" href="classarm__compute_1_1_sub_tensor_info.xhtml#a907f837b924945ad1981c8fe8eca61e4">SubTensorInfo</a>
, <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a907f837b924945ad1981c8fe8eca61e4">TensorInfo</a>
</li>
<li>available_instruments()
: <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#a19a641ac841ecb3f867a75b374b36f61">Framework</a>
</li>
</ul>
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